DOI QR코드

DOI QR Code

Design and Application of Artificial Intelligence Experience Education Class for Non-Majors

비전공자 대상 인공지능 체험교육 수업 설계 및 적용

  • Su-Young Pi (Dept. of Computer Software, Daegu Catholic University)
  • 피수영 (대구가톨릭대학교 컴퓨터소프트웨어학부)
  • Received : 2023.03.15
  • Accepted : 2023.04.17
  • Published : 2023.08.30

Abstract

At the present time when the need for universal artificial intelligence education is expanding and job changes are being made, research and discussion on artificial intelligence liberal arts education for non-majors in universities who experience artificial intelligence as part of their job is insufficient. Although artificial intelligence education courses for non-majors are being operated, they are mainly operated as theory-oriented education on the concepts and principles of artificial intelligence. In order to understand the general concept of artificial intelligence for non-majors, it is necessary to proceed with experiential learning in parallel. Therefore, this study designs artificial intelligence experiential education learning contents of difficulty that can reduce the burden of artificial intelligence classes with interest in learning by considering the characteristics of non-majors. After, we will examine the learning effect of experiential education using App Inventor and the Orange artificial intelligence platform. As a result of analysis based on the learning-related data and survey data collected through the creation of AI-related projects by teams, positive changes in the perception of the need for AI education were found, and AI literacy skills improved. It is expected that it will serve as an opportunity for instructors to lay the groundwork for designing a learning model for artificial intelligence experiential education learning.

보편적 인공지능교육의 필요성이 확대되고 직무 변화가 이루어지고 있는 현 시점에서, 가장 먼저 인공지능을 직무의 일부분으로 경험하게 되는 대학의 비전공자를 위한 인공지능 교양교육에 대한 연구 및 논의는 미흡한 실정이다. 비전공자 대상 인공지능 교육과정이 운영되고 있지만 주로 인공지능의 개념 및 원리에 대한 이론 중심의 교육으로 운영되고 있다. 비전공자 대상 인공지능에 대한 일반적인 개념을 이해하기 위해 체험학습을 병행하여 진행 할 필요가 있다. 따라서 본 연구는 비전공자의 특성을 고려하여 학습에 흥미를 갖고, 인공지능 수업에 대한 부담감을 낮출 수 있는 난이도의 인공지능 체험교육 학습콘텐츠를 설계한 후 앱인벤터와 오렌지 인공지능 플랫폼을 활용한 체험 교육의 학습효과를 살펴보고자 한다. 팀 별 인공지능 관련 프로젝트 작성을 통해 수집된 학습관련 데이터와 설문조사 자료를 바탕으로 분석한 결과 인공지능 교육의 필요성에 대한 인식의 긍정적인 변화와 인공지능 리터러시 능력이 향상된 것으로 나타났다. 교수자에게는 인공지능 체험교육 학습을 위한 학습모형을 설계하는 데 기틀을 마련해 주는 계기가 될 것으로 기대한다.

Keywords

Acknowledgement

This research was supported by 2023 Research Grant from Daegu Catholic University (No. 20231037).

References

  1. S. J. Baek and Y. H. Shin, "Artificial Intelligence(AI) fundamental education design for non-major humanities," Journal of Digital Convergence, vol. 19, no. 5, pp. 285-293, 2021.  https://doi.org/10.14400/JDC.2021.19.5.285
  2. Y. S. Park and Y. M. Yi, "The education model of liberal arts to improve the artificial intelligence literacy competency of undergraduate students," Journal of the Korean Association of Information Education, vol. 25, no. 2, pp. 423-436, 2021.  https://doi.org/10.14352/jkaie.2021.25.2.423
  3. Y. M. Yi and Y. S. Park, "Establishing a definition of AI literacy and designing a liberal arts education program," The Journal of Language & Literature, vol. 85, pp. 451-474, 2021.  https://doi.org/10.15565/jll.2021.03.85.451
  4. E. S. Kang and J. M. Lee, "Artificial intelligence liberal arts curriculum design for non-computer majors," The Digitial Contents Society. vol. 23, no. 1, pp. 57-66, 2022.  https://doi.org/10.9728/dcs.2022.23.1.57
  5. M. Y. Ryu and S. K. Han, "AI education programs for deep-learning concepts," The Korean Association of Information Education, vol. 23, no. 6, pp. 583-590, 2019.  https://doi.org/10.14352/jkaie.2019.23.6.583
  6. H. S. Woo, H. J. Lee, J. M. Lee, and W. G. Lee, "Analysis of artificial intelligence curriculum of SW universities," The Journal of Korean Association of Computer Education, vol. 23, no. 2, pp. 13-20, 2020.  https://doi.org/10.32431/KACE.2020.23.2.002
  7. S. G. Han, "Educational contents for concepts and algorithms of artificial intelligence," Journal of the Korea Society of Computer and Information, vol. 26, no. 1, pp. 37-44, 2021.  https://doi.org/10.9708/JKSCI.2021.26.01.037
  8. J. M. Lee and E. S. Kang, "Development of artificial intelligence basic liberal arts education program for non-majors," Journal of Digital Contents Society, vol. 22, no. 9, pp. 1431-1440, 2021.  https://doi.org/10.9728/dcs.2021.22.9.1431
  9. S. J. Jun, "Development of artificial intelligence education program based on experiential learning for liberal art education," The Journal of Korean Association of Computer Education, vol. 24, no. 2, pp. 63-73, 2021.  https://doi.org/10.32431/KACE.2021.24.2.006
  10. S. H. Kim and K. H. Lee, "A survey on the needs of nonmajor university for coding education programs status," The Journal of Humanities and Social Sciences21, vol 13, no. 2, pp. 737-750, 2022.  https://doi.org/10.22143/HSS21.13.2.52
  11. H. S. Kim and S. J. Jun, "Artificial intelligence curriculum design for liber arts education," Journal of the Korean Association of Artificial Intelligence Education," vol. 1, no. 1, pp. 93-100, 2020. 
  12. M. Y. Park, J. Y. Yang, K. H. Moon, E. J. Kim, and S. H. Park, "Development of SW and AI curriculum for non-majors - based on the case of P university," The Journal of Korean Association of Computer Education, vol. 24, no. 2, pp. 85-103, 2021.  https://doi.org/10.32431/KACE.2021.24.2.008
  13. S. C. Seo and C. Kim, "Analysis of understanding of prospective teacher's computational thinking on artificial intelligence education," Journal of the Korean Association of Information Education, vol. 25, no. 1, pp. 123-134, 2021.  https://doi.org/10.14352/jkaie.2021.25.1.123
  14. S. G. Shin, "Designinig the instructional framework and cognitive learning environment for artificial intelligence education through computational thinking," Journal of the Korean Association of Information Education, vol. 23, no. 6, pp. 639-653, 2019.  https://doi.org/10.14352/jkaie.2019.23.6.639
  15. Y. H. Lee, "An analysis of the influence of block-type programming language-based artificial intelligence education on the learner's attitude in artificial intelligence," Journal of the Korean Association of Information Education, vol. 23, no. 2, pp. 189-196, 2019.  https://doi.org/10.14352/jkaie.2019.23.2.189
  16. M. Kamilya, "Development of a model for predicting airline tickets price using machine learninig method," M. S. dissertation, Chonnam National University, 2020.
  17. Y. M. Kim, O. S. Kang, and S. H. Park, "A study of the use of orange platform in artificial intelligence and data science education", Proceedings of the Korean Association of Computer Education Conference, vol. 21, no. 1, pp. 213-216, 2022. 
  18. J. Y. Kim, S. H. Kim, and K. H. Kim, "Development of teaching-learning materials using app inventor extensions for artificial intelligence convergence education," Proceedings of the Korean Association of Computer Education Conference, vol. 25, no. 2, pp. 131-134, 2021. 
  19. S. Kim, S. Kim, and H. Kim, "Analysis of international educational trends and learning tools for artificial intelligence education," Proceedings of the Korean Association of Computer Education Conference, vol. 23, no. 2, pp. 25-28, 2019. 
  20. MIT App Inventor Extensions. https://mit-cml.github.io/extensions.